In [1]:
import warnings
warnings.filterwarnings('ignore')
In [2]:
# Packages
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# SKTIME

from sktime.utils.plotting import plot_series
from sktime.forecasting.model_selection import temporal_train_test_split
from sktime.transformations.series.boxcox import LogTransformer
from sktime.forecasting.ets import AutoETS

from sktime.performance_metrics.forecasting import MeanSquaredError
from sktime.performance_metrics.forecasting import MeanAbsolutePercentageError
from sktime.performance_metrics.forecasting import mean_absolute_percentage_error

from sktime.forecasting.exp_smoothing import ExponentialSmoothing
from sktime.forecasting.naive import NaiveForecaster
from sktime.forecasting.model_selection import ExpandingWindowSplitter
from sktime.forecasting.model_selection import ForecastingGridSearchCV
from sktime.forecasting.compose import TransformedTargetForecaster

from sktime.forecasting.statsforecast import StatsForecastAutoARIMA
from sktime.forecasting.arima import ARIMA

# Statsmodels

import statsmodels.api as sm
from statsmodels.tsa.seasonal import STL, seasonal_decompose
In [3]:
df = pd.read_csv('../data/raw/datos.csv')
df["Date"] = pd.to_datetime(df["Date"])
df.set_index('Date', inplace=True)
df = df.sort_index()
df.index = df.index.to_period('D')
In [4]:
holidays = df[['DayOfWeek']]

Primero realizamos un procesamiento de datos,

La primera operacion que haremos seran crear dos nuevas tablas, una llamada zona en la que la nueva variable tendra un formato de zona, es decir, el formato de la variable será T1,T2 o T3.

La segunda modificación será crear una nueva variable de en formato de año y mes, para así poder realizar los distintos calculos de formatos mensuales

In [5]:
# He decidido eliminar los valores que la columna open sea igual a cero 
#df = df[df['Open'] != 0]
In [6]:
df = df[['Store', 'Sales']]
In [7]:
df.head()
Out[7]:
Store Sales
Date
2013-01-01 T3d 0
2013-01-01 T1a 0
2013-01-01 T1b 0
2013-01-01 T1c 0
2013-01-01 T2a 0
In [8]:
from sktime.utils.plotting import plot_series
import matplotlib.dates as mdates

def plot_sales(df, store, year):
    
    # Filtrar el dataframe para seleccionar solo la tienda y año especificados
    df_store_year = df[(df['Store'] == store) & (df.index.year == year)]   
    # Graficar la serie temporal con plot_series
    plot_series(df_store_year['Sales'], markers='o')
    plt.xlabel("Fecha")

    plt.ylabel("Ventas")
    plt.legend()

1. Graficar las ventas diarias de las 10 tiendas.¶

In [9]:
plot_sales(df,'T1a',2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [10]:
plot_sales(df,'T1a', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [11]:
plot_sales(df,'T1a', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [12]:
plot_sales(df,'T1b', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [13]:
plot_sales(df,'T1b', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [14]:
plot_sales(df,'T1b', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [15]:
plot_sales(df,'T1c', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [16]:
plot_sales(df,'T1c', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [17]:
plot_sales(df,'T1c', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [18]:
plot_sales(df,'T2a', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [19]:
plot_sales(df,'T2a', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [20]:
plot_sales(df,'T2a', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [21]:
plot_sales(df,'T2b', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [22]:
plot_sales(df,'T2b', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [23]:
plot_sales(df,'T2b', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [24]:
plot_sales(df,'T2c', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [25]:
plot_sales(df,'T2c', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [26]:
plot_sales(df,'T2c', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [27]:
plot_sales(df,'T3a', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [28]:
plot_sales(df,'T3a', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [29]:
plot_sales(df,'T3a', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [30]:
plot_sales(df,'T3b', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [31]:
plot_sales(df,'T3b', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [32]:
plot_sales(df,'T3b', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [33]:
plot_sales(df,'T3c', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [34]:
plot_sales(df,'T3c', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [35]:
plot_sales(df,'T3c', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [36]:
plot_sales(df,'T3d', 2013)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [37]:
plot_sales(df,'T3d', 2014)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
In [38]:
plot_sales(df,'T3d', 2015)

No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

2. Graficar las ventas diarias de las 3 zonas.¶

In [39]:
df.head()
Out[39]:
Store Sales
Date
2013-01-01 T3d 0
2013-01-01 T1a 0
2013-01-01 T1b 0
2013-01-01 T1c 0
2013-01-01 T2a 0
In [40]:
def get_zone(store):
  return store[1]

df['Zone'] = df['Store'].apply(get_zone)
In [41]:
ventas_diarias = df.groupby(['Date', 'Zone'])['Sales'].sum()
In [42]:
ventas_diarias = ventas_diarias.reset_index()
ventas_diarias.columns = ['Date', 'Zone', 'Sales']
In [43]:
ventas_diarias=ventas_diarias.set_index('Date')
In [44]:
ventas_diarias.head()
Out[44]:
Zone Sales
Date
2013-01-01 1 0
2013-01-01 2 0
2013-01-01 3 0
2013-01-02 1 12748
2013-01-02 2 21078
In [45]:
df_zone1 = ventas_diarias[ventas_diarias['Zone'] == '1']
In [46]:
df_zone1 = df_zone1[['Sales']]
In [47]:
plot_series(df_zone1, labels=["Zone 1"])
Out[47]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
In [48]:
df_zone2 = ventas_diarias[ventas_diarias['Zone'] == '2']
df_zone2 = df_zone2[['Sales']]
In [49]:
plot_series(df_zone2, labels=["Zone 2"])
Out[49]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
In [50]:
df_zone3 = ventas_diarias[ventas_diarias['Zone'] == '3']
df_zone3 = df_zone3[['Sales']]
In [51]:
plot_series(df_zone3, labels=["Zone 3"])
Out[51]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)

3. Graficar las ventas totales diarias.¶

In [52]:
ventas_T_diarias = df.groupby(['Date'])['Sales'].sum()
ventas_T_diarias = ventas_T_diarias.reset_index()
ventas_diarias.columns = ['Date', 'Sales']
In [53]:
ventas_T_diarias=ventas_T_diarias.set_index('Date')
In [54]:
ventas_T_diarias.head()
Out[54]:
Sales
Date
2013-01-01 0
2013-01-02 61926
2013-01-03 53588
2013-01-04 56578
2013-01-05 54938
In [55]:
plot_series(ventas_T_diarias, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
Out[55]:
(<Figure size 1600x400 with 1 Axes>,
 <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)

Grafica por años¶

In [56]:
# Grafica de 2013
ventas_T_diarias_2013 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2013]
plot_series(ventas_T_diarias_2013, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
Out[56]:
(<Figure size 1600x400 with 1 Axes>,
 <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
In [57]:
# Grafica de 2014
ventas_T_diarias_2014 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2014]
plot_series(ventas_T_diarias_2014, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
Out[57]:
(<Figure size 1600x400 with 1 Axes>,
 <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
In [58]:
# Grafica de 2015
ventas_T_diarias_2015 = ventas_T_diarias.loc[ventas_T_diarias.index.year == 2015]
plot_series(ventas_T_diarias_2015, labels=["Ventas totales diarias"],x_label= 'Fecha', y_label='Ventas')
Out[58]:
(<Figure size 1600x400 with 1 Axes>,
 <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)
In [59]:
# Estacionareidad
from sktime.transformations.series.boxcox import LogTransformer

df_tos = ventas_T_diarias['Sales']
transformer = LogTransformer()
log_tos= transformer.fit_transform(df_tos)
log_tos.tail()

fig, ax =plot_series(log_tos, labels=["Ingresos"])
ax.set_title('Ventas tos: Transformación LOG')
Out[59]:
Text(0.5, 1.0, 'Ventas tos: Transformación LOG')

4. Graficar las ventas totales semanales.¶

In [60]:
ventas_totales_semanales = df.resample('W').sum()
ventas_totales_semanales.index = ventas_totales_semanales.index.strftime('%Y-%m-%d')
ventas_totales_semanales.index = pd.to_datetime(ventas_totales_semanales.index)
ventas_totales_semanales.index = ventas_totales_semanales.index.to_period('W')
In [61]:
ventas_totales_semanales.head()
Out[61]:
Sales
Date
2012-12-31/2013-01-06 227030
2013-01-07/2013-01-13 395390
2013-01-14/2013-01-20 305576
2013-01-21/2013-01-27 372581
2013-01-28/2013-02-03 335998
In [62]:
plot_series(ventas_totales_semanales, labels=["Ventas totales semanales"],x_label= 'Fecha', y_label='Ventas')
Out[62]:
(<Figure size 1600x400 with 1 Axes>,
 <AxesSubplot: xlabel='Fecha', ylabel='Ventas'>)

 5. Predecir las ventas totales diarias.¶

In [63]:
from prophet import Prophet
In [64]:
y = ventas_T_diarias.reset_index(drop=False)
y.columns = ['ds', 'y']
In [65]:
y['ds'] = y['ds'].dt.to_timestamp('D')
In [66]:
y.plot()
Out[66]:
<AxesSubplot: >
In [67]:
train = y.iloc[:745,:]
test = y.iloc[745:,:]
In [68]:
from prophet import Prophet
m = Prophet()
m.fit(train)

19:34:20 - cmdstanpy - INFO - Chain [1] start processing
19:34:20 - cmdstanpy - INFO - Chain [1] done processing
Out[68]:
<prophet.forecaster.Prophet at 0x7fb27805f820>
In [69]:
future = m.make_future_dataframe(periods=len(test))
forecast = m.predict(future)
In [70]:
from sklearn.metrics import r2_score
print(r2_score(list(test['y']), list(forecast.loc[745:,'yhat'] )))

0.6007890832403079
In [71]:
import matplotlib.pyplot as plt
plt.plot(list(test['y']),'.-')
plt.plot(list(forecast.loc[745:,'yhat']),'r.-')
plt.show()

Añadimos estacionalidad semanal,mensual y anual¶

In [72]:
m2 = Prophet()
m2.add_seasonality(name='weekly', period=7, fourier_order=5)
m2.add_seasonality(name='monthly', period=30.5, fourier_order=5)
m2.add_seasonality(name='yearly', period=365.25, fourier_order=5)



m2.fit(train)

future2 = m2.make_future_dataframe(periods=len(test))
forecast2 = m2.predict(future2)
print(r2_score(list(test['y']), list(forecast2.loc[745:,'yhat'] )))

19:34:22 - cmdstanpy - INFO - Chain [1] start processing
19:34:22 - cmdstanpy - INFO - Chain [1] done processing

0.5902129265069169

Probamos un nuevo Prophet añadiendo estacionalidades mensuales y anuales, añadiendo así mismo la parte del dataframe de holidays para intentar mejorar el modelo, en búsquedad de que la predicción sea lo mejor posible

In [73]:
holidays = pd.read_csv('../data/raw/datos.csv')
holidays["Date"] = pd.to_datetime(holidays["Date"])
holidays = holidays.set_index('Date').sort_index()
holidays = holidays.reset_index()
In [74]:
holidays["StateHoliday"] = holidays["StateHoliday"].replace(["a", "b", "c"], 1)
In [75]:
holidays = holidays[holidays['StateHoliday'] == 1]
holidays = holidays[['Date', 'StateHoliday']]
holidays = holidays.drop(['StateHoliday'], axis=1)
holidays['holiday'] = 'holiday'
holidays.columns = ['ds', 'holiday']
In [76]:
m3 = Prophet(holidays=holidays)

m3.add_seasonality(name='monthly', period=30.5, fourier_order=7)
m3.add_seasonality(name='yearly', period=365.25, fourier_order=3)
m3.fit(train)
future3 = m3.make_future_dataframe(periods=len(test))
forecast3 = m3.predict(future3)

print(r2_score(list(test['y']), list(forecast3.loc[745:,'yhat'] )))

19:34:23 - cmdstanpy - INFO - Chain [1] start processing
19:34:23 - cmdstanpy - INFO - Chain [1] done processing

0.7544461831698667

Observando el resultado, de los tres modelos de Prophet que hemos realizado, este es el que mejor R^2 hemos obtenido, por lo tanto realizaremos las predicciones de los próximos 40 días mediante este modelo.

Predicciones mediante Prophet¶

In [77]:
m3 = Prophet(holidays=holidays)
m3.add_seasonality(name='monthly', period=30.5, fourier_order=7)
m3.add_seasonality(name='yearly', period=365.25, fourier_order=5)
m3.fit(y)
future3 = m3.make_future_dataframe(periods=41)
forecast3 = m3.predict(future3)

19:34:24 - cmdstanpy - INFO - Chain [1] start processing
19:34:24 - cmdstanpy - INFO - Chain [1] done processing
In [78]:
# Tendencia y estacionalidad del modelo
fig2 = m3.plot_components(forecast3)
plt.show()
In [79]:
forecast3[942:].head()
Out[79]:
ds trend yhat_lower yhat_upper trend_lower trend_upper additive_terms additive_terms_lower additive_terms_upper holiday ... weekly weekly_lower weekly_upper yearly yearly_lower yearly_upper multiplicative_terms multiplicative_terms_lower multiplicative_terms_upper yhat
942 2015-08-01 66755.391992 62596.449336 90506.313594 66755.391992 66755.391992 9914.062874 9914.062874 9914.062874 0.0 ... 3380.220175 3380.220175 3380.220175 -1679.197398 -1679.197398 -1679.197398 0.0 0.0 0.0 76669.454867
943 2015-08-02 66791.455043 578.239413 29698.429392 66791.455043 66791.455043 -51486.898988 -51486.898988 -51486.898988 0.0 ... -58329.827963 -58329.827963 -58329.827963 -1659.310931 -1659.310931 -1659.310931 0.0 0.0 0.0 15304.556055
944 2015-08-03 66827.518094 78660.870118 107571.453031 66827.518094 66827.518094 25806.294817 25806.294817 25806.294817 0.0 ... 20094.819801 20094.819801 20094.819801 -1644.597063 -1644.597063 -1644.597063 0.0 0.0 0.0 92633.812911
945 2015-08-04 66863.581145 67495.794734 94870.067948 66863.581145 66863.581145 14359.610036 14359.610036 14359.610036 0.0 ... 10150.943474 10150.943474 10150.943474 -1635.345176 -1635.345176 -1635.345176 0.0 0.0 0.0 81223.191181
946 2015-08-05 66899.644196 61871.329054 89665.344366 66899.644196 66899.644196 9866.872434 9866.872434 9866.872434 0.0 ... 6920.991374 6920.991374 6920.991374 -1631.800558 -1631.800558 -1631.800558 0.0 0.0 0.0 76766.516630

5 rows × 28 columns

In [80]:
plot1 = m3.plot(forecast3)
In [81]:
predictions_daily =  forecast3[['ds', 'yhat']].iloc[942:]
predictions_daily['yhat'] = predictions_daily['yhat'].where(predictions_daily['yhat'] > 16000, 0)
In [82]:
predictions_daily.head()
Out[82]:
ds yhat
942 2015-08-01 76669.454867
943 2015-08-02 0.000000
944 2015-08-03 92633.812911
945 2015-08-04 81223.191181
946 2015-08-05 76766.516630

Predicción de Gráficas semanales¶

In [83]:
y_train, y_test = ventas_totales_semanales['Sales'].astype('float64')[:120],ventas_totales_semanales['Sales'].astype('float64')[120:]
In [84]:
plot_series(y_train, y_test, labels=["Train", "Test"])
Out[84]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)

Realizamos un modelo ETS para predecir las ventas semanales, para ello fijamos que no tiene tendencia y que tiene una estacionalidad aditiva y que tiene un formato semanal.

In [85]:
model = AutoETS(auto=False, trend=None,seasonal="add",n_jobs=-1, sp=52)
In [86]:
fh_test = np.arange(1, len(y_test) +1)
In [87]:
model.fit(y_train)
Out[87]:
AutoETS(n_jobs=-1, seasonal='add', sp=52)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
AutoETS(n_jobs=-1, seasonal='add', sp=52)
In [88]:
# Performance
#from sktime.performance_metrics.forecasting import MeanSquaredError
#from sktime.performance_metrics.forecasting import MeanAbsolutePercentageError
#from sktime.performance_metrics.forecasting import mean_absolute_percentage_error
RMSE = MeanSquaredError(square_root=True)
MAPE = MeanAbsolutePercentageError(symmetric=False)

def ForecastPerformance(original,forecast):
    print(f'RMSE: {round(RMSE(original, forecast),2)}')
    print(f'MAPE: {round(MAPE(original, forecast)*100,2)}%')
In [89]:
predictions = model.predict(fh_test)
In [90]:
ForecastPerformance(y_test,predictions)

RMSE: 45070.48
MAPE: 9.11%
In [91]:
plot_series(y_train[:20], y_test, predictions, labels=["Train", "Test","pred"])
Out[91]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)

Observamos cuales son los resultados que hemos obtenido, teniendo en cuenta que son mejorables realizaremos una validación cruzada para el modelo ETS

Cross validation para modelo ETS¶

In [92]:
# Cross Validation
#from sktime.forecasting.exp_smoothing import ExponentialSmoothing
#from sktime.forecasting.naive import NaiveForecaster
#from sktime.forecasting.model_selection import ExpandingWindowSplitter
#from sktime.forecasting.model_selection import ForecastingGridSearchCV
#from sktime.forecasting.compose import TransformedTargetForecaster

# Inputs: transformaciones y modelos
pipe = TransformedTargetForecaster(steps=[
    ("forecaster", NaiveForecaster())])
# Defenir el CV
cv = ExpandingWindowSplitter(
    initial_window=60,
     step_length=1,
     start_with_window=True,
     fh=fh_test)
# definir los modelos y los parametros (GRID)
gscv = ForecastingGridSearchCV(
     forecaster=pipe,
    param_grid=[{
         "forecaster": [NaiveForecaster(sp=52)],
         "forecaster__strategy": ["drift", "last", "mean"],
     },
     {
          "forecaster": [ExponentialSmoothing(sp=52)],
          "forecaster__trend": ["add", "mul"],
          "forecaster__damped_trend": [True,False],
          "forecaster__seasonal": ["add", "mul"],
    },
     ],
     cv=cv,
     verbose=1,
     n_jobs=-1)
In [93]:
# estimar todos los modelos pot CV 
gscv.fit(y_train)  

Fitting 46 folds for each of 11 candidates, totalling 506 fits

/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
Out[93]:
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15]),
                                                   initial_window=60),
                        forecaster=TransformedTargetForecaster(steps=[('forecaster',
                                                                       NaiveForecaster())]),
                        n_jobs=-1,
                        param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
                                     'forecaster__strategy': ['drift', 'last',
                                                              'mean']},
                                    {'forecaster': [ExponentialSmoothing(sp=52)],
                                     'forecaster__damped_trend': [True, False],
                                     'forecaster__seasonal': ['add', 'mul'],
                                     'forecaster__trend': ['add', 'mul']}],
                        verbose=1)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15]),
                                                   initial_window=60),
                        forecaster=TransformedTargetForecaster(steps=[('forecaster',
                                                                       NaiveForecaster())]),
                        n_jobs=-1,
                        param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
                                     'forecaster__strategy': ['drift', 'last',
                                                              'mean']},
                                    {'forecaster': [ExponentialSmoothing(sp=52)],
                                     'forecaster__damped_trend': [True, False],
                                     'forecaster__seasonal': ['add', 'mul'],
                                     'forecaster__trend': ['add', 'mul']}],
                        verbose=1)
TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])
TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])
In [94]:
# Los resultados
gscv.cv_results_
Out[94]:
mean_test_MeanAbsolutePercentageError mean_fit_time mean_pred_time params rank_test_MeanAbsolutePercentageError
0 0.198281 0.041193 0.017666 {'forecaster': NaiveForecaster(sp=52, strategy... 9.0
1 0.155812 0.041000 0.014086 {'forecaster': NaiveForecaster(sp=52), 'foreca... 6.0
2 0.165716 0.042130 0.015004 {'forecaster': NaiveForecaster(sp=52, strategy... 8.0
3 0.146922 0.285299 0.028938 {'forecaster': ExponentialSmoothing(damped_tre... 4.0
4 0.105539 0.461684 0.015009 {'forecaster': ExponentialSmoothing(damped_tre... 1.0
5 0.141086 0.279962 0.023029 {'forecaster': ExponentialSmoothing(damped_tre... 3.0
6 0.139195 0.494488 0.014558 {'forecaster': ExponentialSmoothing(damped_tre... 2.0
7 0.155452 0.311623 0.013451 {'forecaster': ExponentialSmoothing(seasonal='... 5.0
8 0.160009 0.346387 0.018625 {'forecaster': ExponentialSmoothing(seasonal='... 7.0
9 1.101702 0.155173 0.014392 {'forecaster': ExponentialSmoothing(seasonal='... 11.0
10 0.462757 0.261731 0.008248 {'forecaster': ExponentialSmoothing(seasonal='... 10.0
In [95]:
# el tercer modelo
gscv.cv_results_["params"][3]
Out[95]:
{'forecaster': ExponentialSmoothing(damped_trend=True, seasonal='add', sp=52, trend='add'),
 'forecaster__damped_trend': True,
 'forecaster__seasonal': 'add',
 'forecaster__trend': 'add'}
In [96]:
# El performance del mejor modelo
gscv.best_score_
Out[96]:
0.10553948987730635
In [97]:
# Predicción
cv_pred = gscv.predict(fh_test) 
cv_pred
Out[97]:
2015-04-20/2015-04-26    329560.017587
2015-04-27/2015-05-03    479668.798351
2015-05-04/2015-05-10    511308.440167
2015-05-11/2015-05-17    404064.071825
2015-05-18/2015-05-24    477033.357936
2015-05-25/2015-05-31    410806.377525
2015-06-01/2015-06-07    555015.160197
2015-06-08/2015-06-14    386459.618400
2015-06-15/2015-06-21    493924.673915
2015-06-22/2015-06-28    412547.024414
2015-06-29/2015-07-05    473184.689530
2015-07-06/2015-07-12    389626.852144
2015-07-13/2015-07-19    548586.326008
2015-07-20/2015-07-26    392279.415382
2015-07-27/2015-08-02    558010.194678
Freq: W-SUN, dtype: float64
In [98]:
# Performace

ForecastPerformance(y_test, cv_pred)

RMSE: 48694.62
MAPE: 8.71%
In [99]:
# Grafico zoom de las predicciones
plot_series(y_train[:20],y_test, cv_pred, labels=["Train", "Test","Predicción CV"])
Out[99]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)

Observamos como mediante la validación cruzada mejora notablemente el MAPE, y al graficarlo observamos como se asemeja mas al test. Por lo tanto, utilizaremos el modelo de validación cruzada para sacar las predicciones de las 5 semanas posteriores

Predicciones Semanales¶

In [100]:
gscv.fit(ventas_totales_semanales)  

Fitting 61 folds for each of 11 candidates, totalling 671 fits

/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/naive.py:167: UserWarning: For the `drift` strategy, the `sp` value will be ignored.
  warn("For the `drift` strategy, the `sp` value will be ignored.")
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(damped_trend=True,
                                                         seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:83: RuntimeWarning: overflow encountered in matmul
  return err.T @ err
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:83: RuntimeWarning: overflow encountered in matmul
  return err.T @ err
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='add', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=60.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=61.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=62.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=63.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=64.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=65.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=66.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=67.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=68.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=69.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=70.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=71.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=72.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=73.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=74.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=75.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=76.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=77.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=78.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=79.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=80.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=81.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=82.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=83.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=84.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=85.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=86.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=87.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=88.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=89.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=90.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=91.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=92.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=93.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=94.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=95.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=96.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='add'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=97.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=98.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=99.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=100.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=101.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=102.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/sktime/forecasting/model_evaluation/_functions.py:182: FitFailedWarning: 
                Fitting of forecaster failed, you can set error_score='raise' to see
                the exception message. Fit failed for len(y_train)=103.
                The score will be set to nan.
                Failed forecaster: TransformedTargetForecaster(steps=[('forecaster',
                                    ExponentialSmoothing(seasonal='mul', sp=52,
                                                         trend='mul'))]).
                
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
/Users/eduardo/opt/anaconda3/envs/PEDRICCION/lib/python3.9/site-packages/statsmodels/tsa/holtwinters/model.py:915: ConvergenceWarning: Optimization failed to converge. Check mle_retvals.
  warnings.warn(
Out[100]:
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15]),
                                                   initial_window=60),
                        forecaster=TransformedTargetForecaster(steps=[('forecaster',
                                                                       NaiveForecaster())]),
                        n_jobs=-1,
                        param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
                                     'forecaster__strategy': ['drift', 'last',
                                                              'mean']},
                                    {'forecaster': [ExponentialSmoothing(sp=52)],
                                     'forecaster__damped_trend': [True, False],
                                     'forecaster__seasonal': ['add', 'mul'],
                                     'forecaster__trend': ['add', 'mul']}],
                        verbose=1)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
ForecastingGridSearchCV(cv=ExpandingWindowSplitter(fh=array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15]),
                                                   initial_window=60),
                        forecaster=TransformedTargetForecaster(steps=[('forecaster',
                                                                       NaiveForecaster())]),
                        n_jobs=-1,
                        param_grid=[{'forecaster': [NaiveForecaster(sp=52)],
                                     'forecaster__strategy': ['drift', 'last',
                                                              'mean']},
                                    {'forecaster': [ExponentialSmoothing(sp=52)],
                                     'forecaster__damped_trend': [True, False],
                                     'forecaster__seasonal': ['add', 'mul'],
                                     'forecaster__trend': ['add', 'mul']}],
                        verbose=1)
TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])
TransformedTargetForecaster(steps=[('forecaster', NaiveForecaster())])
In [101]:
fh1 = np.arange(1,6)
predictions1 = gscv.predict(fh1)
predictions1
Out[101]:
Sales
2015-08-03/2015-08-09 430688.059209
2015-08-10/2015-08-16 475763.554376
2015-08-17/2015-08-23 376603.501891
2015-08-24/2015-08-30 483049.512498
2015-08-31/2015-09-06 385460.580214
In [102]:
# Grafico zoom de las predicciones
plot_series(y_train[:20], predictions, cv_pred, y_test,predictions1, labels=["Train", "Prediccion","Predicción CV", "Test",'predictions'])
Out[102]:
(<Figure size 1600x400 with 1 Axes>, <AxesSubplot: >)
In [103]:
#predictions1.to_csv('../data/predi_semanales.csv', header=False,  index=False)